CN CN121860336A
The invention provides a heterogeneous target-oriented full-process unmanned aerial vehicle cluster rescue task multi-stage splitting method, and belongs to the field of intelligent decision making of unmanned aerial vehicle cluster rescue tasks. The method comprises the following steps: an environment construction stage: constructing an information matrix; in the task decomposition stage, the rescue task of the rescued party unit is decomposed into a plurality of subtask groups; in the subtask group scheduling stage, the rescuer unmanned aerial vehicles are distributed to the corresponding subtask groups; in the task allocation stage, rescued party targets are matched for rescuer units in the subtask groups; a task decision-making stage: executing a task decision; in the task redistribution stage, when the states of the sub-task groups change, scheduling and distribution are executed again; the rescue state is evaluated in real time, and whether tasks are completed is judged. According to the invention, an unmanned aerial vehicle cluster rescue task multi-stage framework of environment construction, task decomposition, task scheduling, task allocation, task decision and task reallocation is provided, a closed loop from macroscopic planning to individual decision is realized, and the rescue real-time performance and adaptability are improved.
A document turning up in a search is not the same as a document that anticipates your claims. Our registered Patent Agents read the claims, not just the abstract, and tell you where you still have room.
Protect Your InventionBibliographic data via the European Patent Office's Open Patent Services (DOCDB) . Republished here for research and prior-art review. This page is not legal advice, and its presence in our index says nothing about the validity or enforceability of the document. For the Indian legal position (status, oppositions, renewals), see InPASS.